AI-Based Diabetic Foot Analysis using Pseudo-Hyperspectral Imaging
Overview
Diabetic Foot Ulcer (DFU) is a serious complication of diabetes. Early detection can significantly reduce the risk of infection and amputation.
This project proposes an AI-assisted analysis framework that converts smartphone RGB images into pseudo hyperspectral representations for enhanced medical image analysis.
Key Features
- Smartphone RGB image analysis
- Pseudo hyperspectral image conversion
- Spectral feature extraction
- AI-assisted diabetic foot detection
Workflow
Smartphone RGB Image
↓
Pseudo-HSI Conversion
↓
Feature Extraction
↓
AI Model
↓
Diabetic Foot Detection
Application
- Smart healthcare
- Telemedicine
- Diabetic foot early screening
- AI-assisted wound detection
Technology
Python
Computer Vision
Machine Learning
Medical Image Processing
Research Contribution
This project proposes a low-cost hyperspectral imaging alternative using only smartphone cameras.
It enables spectral analysis for wound detection without expensive hyperspectral sensors.
